I have problems training and compiling by using run_modelmaker.sh.
After training the model with custom dataset or the default dataset which is in the config_detection.yaml,
the following error occurs at the end.
INFO:20230117-104719: import - modelartifacts - this may take some time..../run_modelmaker.sh: line 38: 486218 Segmentation fault (core dumped) python ./scripts/run_modelmaker.py $@
Any suggestions?
I made a docker environment(Ubuntu 18.04, CUDA 11.3) on my GPU sever
I have problems training and compiling by using run_modelmaker.sh.
After training the model with custom dataset or the default dataset which is in the config_detection.yaml, the following error occurs at the end.
INFO:20230117-104719: import - modelartifacts - this may take some time..../run_modelmaker.sh: line 38: 486218 Segmentation fault (core dumped) python ./scripts/run_modelmaker.py $@
Any suggestions?
I made a docker environment(Ubuntu 18.04, CUDA 11.3) on my GPU sever
pip list absl-py 1.3.0 addict 2.4.0 appdirs 1.4.4 asgiref 3.4.1 attr 0.3.1 attrs 22.2.0 azure-core 1.24.2 azure-storage-blob 12.13.1 boto 2.49.0 boto3 1.16.28 botocore 1.19.28 boxing 0.1.4 cached-property 1.5.2 cachetools 4.2.4 certifi 2022.12.7 cffi 1.15.1 charset-normalizer 2.0.12 click 8.0.4 cloudpickle 2.2.0 colorama 0.4.5 coreapi 2.3.3 coreschema 0.0.4 cryptography 39.0.0 cycler 0.11.0 Cython 0.29.33 dataclasses 0.8 decorator 5.1.1 distro 1.8.0 Django 3.1.13 django-annoying 0.10.6 django-cors-headers 3.6.0 django-debug-toolbar 3.2.1 django-extensions 3.1.0 django-filter 2.4.0 django-model-utils 4.1.1 django-ranged-fileresponse 0.1.2 django-redis-cache 3.0.0 django-rest-swagger 2.2.0 django-rq 2.4.1 django-user-agents 0.4.0 djangorestframework 3.13.1 dlr 1.10.0 drf-dynamic-fields 0.3.0 drf-flex-fields 0.9.5 drf-generators 0.3.0 drf-yasg 1.20.0 edgeai-benchmark 8.4.0.12+78a94b8 /opt/beagle/edgeai-benchmark flatbuffers 1.12 google-api-core 2.8.2 google-auth 1.35.0 google-auth-oauthlib 0.4.6 google-cloud-appengine-logging 0.2.0 google-cloud-audit-log 0.2.2 google-cloud-core 1.7.3 google-cloud-logging 2.6.0 google-cloud-storage 1.28.1 google-resumable-media 0.5.1 googleapis-common-protos 1.56.3 graphviz 0.19.1 grpcio 1.48.2 grpcio-status 1.48.2 h5py 3.1.0 htmlmin 0.1.12 idna 3.4 importlib-metadata 4.8.3 importlib-resources 5.4.0 inflection 0.5.1 iniconfig 1.1.1 isodate 0.6.1 itypes 1.2.0 Jinja2 3.0.3 jmespath 0.10.0 joblib 1.1.1 json-tricks 3.16.1 jsonschema 3.2.0 kiwisolver 1.3.1 label-studio 1.4 label-studio-converter 0.0.36 lockfile 0.12.2 lxml 4.9.2 Markdown 3.3.7 MarkupSafe 2.0.1 matplotlib 3.3.4 mmcv-full 1.4.7 mmdet 2.22.0 /opt/beagle/edgeai-mmdetection msrest 0.7.1 munkres 1.1.4 natsort 8.2.0 ninja 1.11.1 nltk 3.5 numpy 1.19.5 oauthlib 3.2.2 onnx 1.8.1 onnxruntime-tidl 1.7.0 openapi-codec 1.3.2 opencv-python 4.2.0.34 ordered-set 4.0.2 osrt-model-tools 1.2 packaging 21.3 pandas 1.1.5 Pillow 8.3.2 Pillow-SIMD 7.2.0.post1 pip 21.3.1 pluggy 1.0.0 plyfile 0.7.4 progiter 1.0.1 proto-plus 1.22.2 protobuf 3.19.0 psutil 5.9.4 psycopg2-binary 2.9.1 py 1.11.0 pyasn1 0.4.8 pyasn1-modules 0.2.8 pycocotools 2.0.6 pycparser 2.21 pydantic 1.8.2 pyparsing 3.0.9 pyrsistent 0.18.0 pytest 7.0.1 python-dateutil 2.8.1 pytz 2019.3 PyYAML 6.0 redis 3.5.3 regex 2022.10.31 requests 2.27.1 requests-oauthlib 1.3.1 rq 1.10.0 rsa 4.9 ruamel.yaml 0.17.21 ruamel.yaml.clib 0.2.7 rules 2.2 s3transfer 0.3.7 scikit-learn 0.24.2 scipy 1.5.4 seaborn 0.11.2 sentry-sdk 1.13.0 setuptools 59.6.0 simplejson 3.18.1 six 1.16.0 sqlparse 0.4.3 synr 0.6.0 tensorboard 2.10.1 tensorboard-data-server 0.6.1 tensorboard-plugin-wit 1.8.1 terminaltables 3.1.10 tflite 2.10.0 tflite-runtime 2.8.2 thop 0.1.1.post2209072238 threadpoolctl 3.1.0 tomli 1.2.3 torch 1.10.0+cu113 torchinfo 1.5.4 torchvision 0.11.0a0+4b649a8 /opt/beagle/edgeai-torchvision tornado 6.1 tqdm 4.64.1 tvm 1.11.1.dev335+g13a4007ca typing_extensions 4.1.1 ua-parser 0.16.1 ujson 4.3.0 uritemplate 4.1.1 urllib3 1.26.13 user-agents 2.2.0 Werkzeug 2.0.3 wheel 0.37.1 wurlitzer 3.0.3 xmljson 0.2.0 yapf 0.32.0 zipp 3.6.0